As design challenges become more complex and time to product launches are reduced, it is important to understand how to use a cluster for simulation, as compared to just a single node. “HPC Clusters Drive Design Optimization” is an excellent introduction on how to get the most out of a compute cluster. This whitepaper includes many links to more information from IBM as well.
There are a number of factors that go into making a compute cluster a valuable tool for engineers performing various types simulations. An HPC cluster that is built upon the x86 architecture provides a cost effective platform that is easily expandable to meet growing requirements over time. A cluster of compute nodes would typically range from less than 32 cores to thousands of cores. While a single application may not scale to thousands for cores, a cluster can be used for a range of compute or data intensive tasks, simultaneously.
With the advent of easy to use management software and the standardization of various components and networking, smaller organizations can easily use a cluster to perform critical design tasks, resulting in better products, and sooner to market. More computing power available to the engineering community within an organization can lead to faster decision making, more optimized products and lower service costs in the future.
There are six essential steps to a successful implementation and use of a cluster.
- Define the business problem
- Assemble a project team
- Specify the cluster needs
- Deploying the cluster
- Optimize the cluster
- Maintain the cluster
The whitepaper “HPC Clusters Drive Design Optimization” provides details on each of the points above with real world examples of customers deploying clusters for engineering simulation. Download the whitepaper to learn more about how a cluster can help any organization to become more responsive to the increasing and demanding requirements of engineering departments.